Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding
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arXiv:2503.20546v2 Announce Type: replace Abstract: We consider the problem of estimating the expected causal effect $E[Y|do(X)]$ for a target variable $Y$ when treatment $X$ is set by intervention, focusing on continuous random variables. In settings without selection bias or confounding, $E[Y|do(…
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- 2026-08-24 04:00 · arXiv stat.ML
Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding